With the emergence of smart technologies in different fields including health, ecological monitoring, security, smart-home, vehicles, planes, and shipboard, sensors became the key player in any of those applications. Wireless Sensor Networks (WSNs) are supposed to live for a long time using AA batteries in an unattended environment. At the same time, sensors are now the main part of the Internet of Things (IoT) and their applications. However, sensors suffer from limited energy sources, limited storage, and restricted performance capabilities. Therefore, this paper proposes a novel deployment framework for Wireless Sensor Networks (WSNs) based on clustering to save sensors energy and extend the network lifetime. The proposed approach optimizes the deployment process through clustering. The proposed deployment framework also utilizes both neural networks and fuzzy logic for offline deployment. Moreover, the framework covers heterogeneous sensor deployment. The proposed framework is extensively examined against other deployment methods for performance measures.